DocumentCode :
2648970
Title :
Inter-turn short circuit fault diagnosis for PMSM based on complex gauss wavelet
Author :
Chen, Zheng ; Qi, Rong ; Lin, Hui
Author_Institution :
Northwestern Polytech. Univ., Xi´´an
Volume :
4
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1915
Lastpage :
1920
Abstract :
Nowadays a novel permanent magnetic fault tolerant synchronous motor which can realize electric, magnetic, heat, and physic insulation between each phase has brought broad attention in aeronautics and astronautics field. The key technique to achieve fault tolerant control is that system could detect custom electric fault on line. Because the signal of few turns when encountering short circuits is feeble, on line detecting fault becomes extreme hard. Classical methods couldn ´t detect on line. The module maxima theory of one step complex gauss wavelet is adopted to analyze the motor´s instantaneous power, which can detect inter-turn fault efficiently. Theory analysis and simulation results approve this method´s efficiency and it provides a novel solution for permanent magnetic synchronous motor on line fault diagnostic.
Keywords :
fault diagnosis; fault tolerance; machine control; permanent magnet motors; synchronous motors; wavelet transforms; complex gauss wavelet; fault tolerant control; inter-turn short circuit fault diagnosis; module maxima theory; permanent magnetic synchronous motor; Circuit faults; Dielectrics and electrical insulation; Electrical fault detection; Fault diagnosis; Fault tolerance; Gaussian processes; Magnetic analysis; Physics; Resistance heating; Synchronous motors; Permanent magnetic synchronous motor (PMSM); complex gauss wavelet; instantaneous power; interturn short circuit;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421769
Filename :
4421769
Link To Document :
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